Abstract:
The authors have designed a writer-adaptable character recognition system for online characters entered on a touch terminal. It is based on a Time Delay Neural Network (T...Show MoreMetadata
Abstract:
The authors have designed a writer-adaptable character recognition system for online characters entered on a touch terminal. It is based on a Time Delay Neural Network (TDNN) that is pre-trained on examples from many writers to recognize digits and uppercase letters. The TDNN without its last layer serves as a preprocessor for an optimal hyperplane classifier that can be easily retrained to peculiar writing styles. This combination allows for fast writer-dependent learning of new letters and symbols. The system is memory and speed efficient.<>
Published in: Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93)
Date of Conference: 20-22 October 1993
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-8186-4960-7
